Tetris uses tile-level polyomino sampling and packing to materialize object tracks from stationary video with up to 68.8x throughput gain at under 5% HOTA loss.
In: IEEE International Conference on Image Processing (ICIP)
7 Pith papers cite this work, alongside 12 external citations. Polarity classification is still indexing.
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PipeMFL-240K provides 249,320 labeled MFL pipeline scans across 12 categories — the first large public benchmark for MFL defect detection — and baseline tests show current detectors cap near 0.5 mAP50.
The ICPR 2026 LRLPR competition on real low-quality license plate images drew 99 valid submissions, with the winning team reaching 82.13% recognition rate and four teams exceeding 80%.
BioVid is a data-driven autoregressive model using 2D-encode/3D-decode tokenization and causal Transformer with EOS termination that reproduces real action duration distributions (W1 distance 1.24 frames) on NTU RGB+D drinking clips, outperforming fixed-length baselines.
DroneDAR combines a convolutional backbone with bounding-box cues via lightweight gating to predict drone range from image crops and evaluates effects of backbone capacity, resolution, and loss functions across distance regimes.
Tile-based inference with topology-aware merging improves small PCB defect detection by preserving scale and resolving edge artifacts on two datasets.
The SoccerNet 2026 Challenges benchmarked 427 teams across five soccer video understanding tasks, with leading submissions improving over baselines on all tasks.
citing papers explorer
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Tetris: Tile-level Sampling for Efficient and High-Fidelity Video Object Tracking
Tetris uses tile-level polyomino sampling and packing to materialize object tracks from stationary video with up to 68.8x throughput gain at under 5% HOTA loss.
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PipeMFL-240K: A Large-scale Dataset and Benchmark for Object Detection in Pipeline Magnetic Flux Leakage Imaging
PipeMFL-240K provides 249,320 labeled MFL pipeline scans across 12 categories — the first large public benchmark for MFL defect detection — and baseline tests show current detectors cap near 0.5 mAP50.
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ICPR 2026 Competition on Low-Resolution License Plate Recognition
The ICPR 2026 LRLPR competition on real low-quality license plate images drew 99 valid submissions, with the winning team reaching 82.13% recognition rate and four teams exceeding 80%.
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BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension
BioVid is a data-driven autoregressive model using 2D-encode/3D-decode tokenization and causal Transformer with EOS termination that reproduces real action duration distributions (W1 distance 1.24 frames) on NTU RGB+D drinking clips, outperforming fixed-length baselines.
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DroneDAR: Long-Range Drone Distance Estimation Using Monocular Vision and Bounding-Box Features
DroneDAR combines a convolutional backbone with bounding-box cues via lightweight gating to predict drone range from image crops and evaluates effects of backbone capacity, resolution, and loss functions across distance regimes.
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From Full Boards to Tiny Defects: Scale-Aware Tile Inference with Topology-Aware Merging for High-Resolution PCB Defect Detection
Tile-based inference with topology-aware merging improves small PCB defect detection by preserving scale and resolving edge artifacts on two datasets.
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SoccerNet 2026 Challenges Results
The SoccerNet 2026 Challenges benchmarked 427 teams across five soccer video understanding tasks, with leading submissions improving over baselines on all tasks.